Main
Joshua Goldberg
Data scientist proficient in statistics, machine learning, and software engineering. Comfortable with R, python, SQL, and C++ using functional programming and object-oriented design. Examples of my work include machine learning models to optimize sales and marketing programs with an estimated impact of $1 million net revenue annually at a financial institution; I have also built/maintained models to detect risky behavior across millions of third-party sellers on amazon.com. Outside of work, I enjoy distance running, reading, and developing/implementing algorithms in C++.
Industry Experience
Data Scientist
Amazon
Seattle, WA
Current - 2020
- Build machine learning models to detect Amazon seller fraud activity
- Manage ETL pipelines to enable automated work-flows
- Maintain model efficacy through retraining and error analysis
- Create software tools to monitor machine learning models in production
AVP, Lead Data Scientist
Nuveen
Chicago, IL
2020 - 2017
- Pioneered end-to-end (execution and experimental design) deep learning time series model for client onboarding; estimated impact of the model was $1 million net revenue annually that maximized client journey (improvement in client retention, client growth, etc.)
- Built recommendation engine for 150,000 clients in 50+ products
- Presented model/analysis to executive management; results included model adoption by 100+ sales people and a significant increase sales for clients treated by the model
- Conceptualized and created simulation engine that isolated, detected and measured the ROI impact of company sales events
Senior Equity Research Associate, Financial Services
Raymond James Financial, Inc.
Chicago, IL
2017 - 2014
- Built company and industry models using finance and statistical techniques, including regression and discounted cash flows (DCF)
Education
Graduate Certificate in Software Design & Development
University of Washington Bothell
Bothell, WA
Current - 2021
- C++ data structure & algorithms, object-oriented design and programming, systems programming, and software planning and development
Computer Science Coursework
Edmonds College
Seattle, WA
2021
- C/C++ Data structures & algorithms, object-oriented design and programming
M.S. in Analytics
University of Chicago
Chicago, IL
2020
- Coursework in statistics, linear algebra, machine learning, and deep learning
B.S. in Accounting and Finance
University of South Florida
Tampa, FL
2013
Selected Code Repositories
Machine learning decision tree and data frame implementation in C++
Github
Seattle, WA
2021
- Authored with John Nguyen
Generative adversarial network used to generate musical samples
University of Chicago
Chicago, IL
2020
- Capstone project and paper authored with Terry Wang and Rima Mittal. Supervised by Yuri Balasanov
In my free time, I enjoy working with friends, peers, and colleagues on algorithm designs/implementations. Recently, we built data frame and decision tree classes in C++.
Teaching Experience
I am passionate about teaching and helping others. It brings me joy and satisfication to teach others new skills.
Data Understanding via SQL, Databases, and R
University of Chicago
Remote
Current - 2020
- TA and lecture
- Topics include introduction to databases, mySQL, and R
MastersTrack Statistics for Machine Learning
University of Chicago
Coursera
Current - 2020
- TA and lecture
- Topics include simple and multiple regression, logistic regression, hypothesis testing, variable transformations
MastersTrack Machine Learning
University of Chicago
Coursera
Current - 2020
- TA
- Topics include a survey of machine learning algorithms: kNN, support vector machine, decision tree, random forest, boosted trees, and clustering algorithms